Horng-Ruey Chua — accepted AI-conference papers

2025

Detecting Data Deviations in Electronic Health Records

Kaiping Zheng, Horng-Ruey Chua, Beng Chin Ooi

NeurIPS 2025poster

Data deviations in electronic health records (EHR) refer to discrepancies between recorded entries and a patient’s actual physiological state, indicating a decline in EHR data fidelity. Such deviations can result from pre-analytical variability, documentation errors, or unvalidated data sources. Eff…

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2024

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip

ICML 2024poster

In healthcare analytics, addressing binary diagnosis or prognosis tasks presents unique challenges due to the inherent asymmetry between positive and negative samples. While positive samples, indicating patients with a disease, are defined based on stringent medical criteria, negative samples are de…

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